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Variation the in relationship between urban tree canopy and air temperature reduction under a range of daily weather conditions

Author(s): Locke DH; Baker M; Alonzo M; Yang Y; Ziter CD; Murphy-Dunning C; O' Neil-Dunne JPM;

Mitigating heat is a vital ecosystem service of trees, particularly with climate change. Land surface temperature measures captured at a single time of day (in the morning) dominate the urban heat island literature. Less is known about how local tree canopy and impervious surface regulate air temperature throughout the day, and/or across many days with va ...

Article GUID: 38352758


Identification of the driving factors of microplastic load and morphology in estuaries for improving monitoring and management strategies: A global meta-analysis

Author(s): Feng Q; An C; Chen Z; Lee K; Wang Z;

Estuaries are one of the primary pathways for transferring microplastics (MPs) from the land to the ocean. A comprehensive understanding of the load, morphological characteristics, driving factors, and potential risks of MPs in estuaries is imperative to inform reliable management in this critical transboundary area. Extracted from 135 publications, a glo ...

Article GUID: 37336353


Dense Sampling Approaches for Psychiatry Research: Combining Scanners and Smartphones

Author(s): McGowan AL; Sayed F; Boyd ZM; Jovanova M; Kang Y; Speer ME; Cosme D; Mucha PJ; Ochsner KN; Bassett DS; Falk EB; Lydon-Staley DM;

Together, data from brain scanners and smartphones have sufficient coverage of biology, psychology, and environment to articulate between-person differences in the interplay within and across biological, psychological, and environmental systems thought to underlie psychopathology. An important ne ...

Article GUID: 36797176


How well do covariates perform when adjusting for sampling bias in online COVID-19 research? Insights from multiverse analyses

Author(s): Joyal-Desmarais K; Stojanovic J; Kennedy EB; Enticott JC; Boucher VG; Vo H; Košir U; Lavoie KL; Bacon SL;

COVID-19 research has relied heavily on convenience-based samples, which-though often necessary-are susceptible to important sampling biases. We begin with a theoretical overview and introduction to the dynamics that underlie sampling bias. We then empirically examine sampling bias in online COVI ...

Article GUID: 36335560


Air monitoring of tire-derived chemicals in global megacities using passive samplers

Author(s): Johannessen C; Saini A; Zhang X; Harner T;

Pollution from vehicle tires has received world-wide research attention due to its ubiquity and toxicity. In this study, we measured various tire-derived contaminants semi-quantitatively in archived extracts of passive air samplers deployed in 18 major cities that comprise the Global Atmospheric Passive Sampling (GAPS) Network (GAPS-Megacities). Analysis ...

Article GUID: 36152723


Bayesian Learning of Shifted-Scaled Dirichlet Mixture Models and Its Application to Early COVID-19 Detection in Chest X-ray Images

Author(s): Bourouis S; Alharbi A; Bouguila N;

Early diagnosis and assessment of fatal diseases and acute infections on chest X-ray (CXR) imaging may have important therapeutic implications and reduce mortality. In fact, many respiratory diseases have a serious impact on the health and lives of people. However, certain types of infections may include high variations in terms of contrast, size and shap ...

Article GUID: 34460578


The Epistemology of Evolutionary Psychology Offers a Rapprochement to Cultural Psychology

Author(s): Gad Saad

Many detractors of evolutionary psychology (EP) presume that adaptive arguments are nothing more than whimsical and unfalsifiable just-so stories. The reality though is that the epistemology of EP is precisely the opposite of this antiquated canard in that it fixes the evidentiary threshold much higher than is typically achieved by most scientists. EP ama ...

Article GUID: 33224071


SPARK: Sparsity-based analysis of reliable k-hubness and overlapping network structure in brain functional connectivity.

Author(s): Lee K, Lina JM, Gotman J, Grova C

Neuroimage. 2016 07 01;134:434-449 Authors: Lee K, Lina JM, Gotman J, Grova C

Article GUID: 27046111


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